ASME

Journal of Computing and Information Science in Engineering

Dan 
Li, Ph.D.
Dan Li Clemson U

Areas of Interest

COMPLEX SYSTEM MODELING
CYBER PHYSICAL SYSTEMS
ENERGY SYSTEMS
HIGH DIMENSIONAL DATA ANALYTICS
MANUFACTURING
SENSOR-BASED ANOMALY DETECTIONS
Clemson University
Dr. Dan Li is an assistant professor in the Department of Industrial Engineering at Clemson University. She received her Ph.D. in Industrial Engineering and M.S. in Statistics from Georgia Institute of Technology in 2021 and 2020, respectively. She received her B.S. in Automotive Engineering from Tsinghua University, Beijing, China, in 2015. Her research interests include cybersecurity for Cyber-Physical Systems (CPS), complex system modeling, sensor-based anomaly detection, reliability engineering, and high dimensional data analytics. Her current research focuses on developing new analytical methods for securing industrial CPSs including manufacturing and energy systems. Dr. Li is the recipient of multiple Best Paper and Best Student Paper Awards at the IISE Annual Conferences. She is a board member of IISE QCRE division (2022-2024).

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Announcements

Special Issue on Geometric Data Processing and Analysis for Advanced Manufacturing

Geometric information, such as three-dimensional (3D) shapes and network topologies, has been increasingly explored in manufacturing research. For example, characterizing geometric information in 3D-printed parts, in-situ or ex-situ, opens opportunities for defect detection, quality improvement, and product customization. However, geometric data mining remains critically challenging. Geometric information is embedded in complex data structures, such as 3D point clouds, graphs, meshes, voxels, high-dimensional images, and tensors, which possess challenges for analysis due to their high-dimensionality, high-volume, unstructured, multimodality characteristics. Additional challenges stem from compromised data quality (e.g., noisy and incomplete data), the need for registration, etc.

Announcements

2023 Reviewer’s Recognition

The Editor and Editorial Board of the Journal of Computing and Information Science in Engineering would like to thank all of the reviewers for volunteering their expertise and time reviewing manuscripts in 2023. Serving as reviewers for the journal is a critical service necessary to maintain the quality of our publication and to provide the authors with a valuable peer review of their work.

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